Pandas Profiling Report

Dataset statistics

Number of variables	38
Number of observations	23175
Missing cells	84711
Missing cells (%)	9.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	32.1 MiB
Average record size in memory	1.4 KiB

Variable types

Categorical	21
Numeric	10
Unsupported	7

Alerts

`Ano` has constant value "2015"	Constant
`Codigo SGIF` has a high cardinality: 23175 distinct values	High cardinality
`Concelho` has a high cardinality: 319 distinct values	High cardinality
`Freguesia` has a high cardinality: 3290 distinct values	High cardinality
`DataAlerta` has a high cardinality: 346 distinct values	High cardinality
`DataExtincao` has a high cardinality: 349 distinct values	High cardinality
`Data1Intervencao` has a high cardinality: 346 distinct values	High cardinality
`NUT` has a high cardinality: 3861 distinct values	High cardinality
`Perimetro` has a high cardinality: 87 distinct values	High cardinality
`Codigo_ANPC` is highly correlated with `Distrito` and 8 other fields	High correlation
`INE` is highly correlated with `Codigo_ANPC` and 8 other fields	High correlation
`AA_Mato (ha)` is highly correlated with `AA_EspacosFlorestais (pov+mato)(ha)` and 1 other fields	High correlation
`AA_Agricola (ha)` is highly correlated with `Agricola`	High correlation
`AA_EspacosFlorestais (pov+mato)(ha)` is highly correlated with `AA_Povoamento (ha)` and 3 other fields	High correlation
`AA_Total (pov+mato+agric) (ha)` is highly correlated with `AA_Povoamento (ha)` and 3 other fields	High correlation
`Falso Alarme` is highly correlated with `Tipo` and 1 other fields	High correlation
`Incendio` is highly correlated with `Fogacho`	High correlation
`Agricola` is highly correlated with `Tipo` and 2 other fields	High correlation
`AA_Povoamento (ha)` is highly correlated with `AA_EspacosFlorestais (pov+mato)(ha)` and 2 other fields	High correlation
`UGF` is highly correlated with `Codigo_ANPC` and 10 other fields	High correlation
`Região PROF` is highly correlated with `Codigo_ANPC` and 7 other fields	High correlation
`Queimada` is highly correlated with `Tipo` and 1 other fields	High correlation
`Distrito` is highly correlated with `Codigo_ANPC` and 10 other fields	High correlation
`Tipo` is highly correlated with `Distrito` and 7 other fields	High correlation
`APS` is highly correlated with `Codigo_ANPC` and 10 other fields	High correlation
`Reacendimentos` is highly correlated with `Causa` and 1 other fields	High correlation
`Ano` is highly correlated with `UGF` and 12 other fields	High correlation
`Perimetro` is highly correlated with `Codigo_ANPC` and 15 other fields	High correlation
`TipoCausa` is highly correlated with `Distrito` and 5 other fields	High correlation
`Fogacho` is highly correlated with `Tipo` and 3 other fields	High correlation
`x` is highly correlated with `Codigo_ANPC` and 7 other fields	High correlation
`y` is highly correlated with `Codigo_ANPC` and 7 other fields	High correlation
`Causa` is highly correlated with `Codigo_ANPC` and 7 other fields	High correlation
`DataExtincao` has 312 (1.3%) missing values	Missing
`HoraExtincao` has 317 (1.4%) missing values	Missing
`Data1Intervencao` has 1199 (5.2%) missing values	Missing
`Hora1Intervencao` has 1213 (5.2%) missing values	Missing
`FonteAlerta` has 23175 (100.0%) missing values	Missing
`Perimetro` has 22349 (96.4%) missing values	Missing
`APS` has 22116 (95.4%) missing values	Missing
`Causa` has 7013 (30.3%) missing values	Missing
`TipoCausa` has 7013 (30.3%) missing values	Missing
`AA_Povoamento (ha)` is highly skewed (γ1 = 46.40516403)	Skewed
`AA_Mato (ha)` is highly skewed (γ1 = 80.19057206)	Skewed
`AA_Agricola (ha)` is highly skewed (γ1 = 42.94837127)	Skewed
`AA_EspacosFlorestais (pov+mato)(ha)` is highly skewed (γ1 = 58.04817374)	Skewed
`AA_Total (pov+mato+agric) (ha)` is highly skewed (γ1 = 56.72923777)	Skewed
`Codigo SGIF` is uniformly distributed	Uniform
`Codigo SGIF` has unique values	Unique
`Codigo_ANPC` has unique values	Unique
`Local` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lat` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lon` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`HoraAlerta` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`HoraExtincao` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Hora1Intervencao` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`FonteAlerta` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`AA_Povoamento (ha)` has 18165 (78.4%) zeros	Zeros
`AA_Mato (ha)` has 9884 (42.6%) zeros	Zeros
`AA_Agricola (ha)` has 19012 (82.0%) zeros	Zeros
`AA_EspacosFlorestais (pov+mato)(ha)` has 6824 (29.4%) zeros	Zeros
`AA_Total (pov+mato+agric) (ha)` has 2925 (12.6%) zeros	Zeros

Reproduction

Analysis started	2022-09-22 17:27:24.648386
Analysis finished	2022-09-22 17:27:40.494837
Duration	15.85 seconds
Software version	pandas-profiling v3.3.1
Download configuration	config.json

Ano
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

2015	23175

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	92700
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2015
2nd row	2015
3rd row	2015
4th row	2015
5th row	2015

Common Values

Value	Count	Frequency (%)
2015	23175	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2015	23175	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	23175	25.0%
0	23175	25.0%
1	23175	25.0%
5	23175	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	92700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	23175	25.0%
0	23175	25.0%
1	23175	25.0%
5	23175	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	92700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	23175	25.0%
0	23175	25.0%
1	23175	25.0%
5	23175	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	23175	25.0%
0	23175	25.0%
1	23175	25.0%
5	23175	25.0%

Codigo SGIF
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	23175
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

DM315252	1
DM3151467	1
DM2154174	1
DM2154168	1
BL415734	1
Other values (23170)	23170

Length

Max length	9
Median length	8
Mean length	8.317281553
Min length	6

Characters and Unicode

Total characters	192753
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23175 ?
Unique (%)	100.0%

Sample

1st row	DM315252
2nd row	DM215305
3rd row	DM415293
4th row	DM315261
5th row	BL115321

Common Values

Value	Count	Frequency (%)
DM315252	1	< 0.1%
DM3151467	1	< 0.1%
DM2154174	1	< 0.1%
DM2154168	1	< 0.1%
BL415734	1	< 0.1%
DM2154165	1	< 0.1%
RO1151119	1	< 0.1%
DM2154163	1	< 0.1%
DM2152093	1	< 0.1%
BI215474	1	< 0.1%
Other values (23165)	23165	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dm315252	1	< 0.1%
dm415293	1	< 0.1%
bl115321	1	< 0.1%
dm415289	1	< 0.1%
tm115382	1	< 0.1%
bl21592	1	< 0.1%
dm215334	1	< 0.1%
tm115385	1	< 0.1%
dm415310	1	< 0.1%
tm115388	1	< 0.1%
Other values (23165)	23165	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
1	42871	22.2%
5	29984	15.6%
2	18363	9.5%
3	13384	6.9%
4	10932	5.7%
M	10446	5.4%
D	8231	4.3%
6	6579	3.4%
7	6346	3.3%
B	6311	3.3%
Other values (10)	39306	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	146403	76.0%
Uppercase Letter	46350	24.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	42871	29.3%
5	29984	20.5%
2	18363	12.5%
3	13384	9.1%
4	10932	7.5%
6	6579	4.5%
7	6346	4.3%
8	6038	4.1%
9	5981	4.1%
0	5925	4.0%

Uppercase Letter

Value	Count	Frequency (%)
M	10446	22.5%
D	8231	17.8%
B	6311	13.6%
L	4957	10.7%
R	4727	10.2%
O	4727	10.2%
T	3322	7.2%
A	1691	3.6%
I	1354	2.9%
G	584	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	146403	76.0%
Latin	46350	24.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	42871	29.3%
5	29984	20.5%
2	18363	12.5%
3	13384	9.1%
4	10932	7.5%
6	6579	4.5%
7	6346	4.3%
8	6038	4.1%
9	5981	4.1%
0	5925	4.0%

Latin

Value	Count	Frequency (%)
M	10446	22.5%
D	8231	17.8%
B	6311	13.6%
L	4957	10.7%
R	4727	10.2%
O	4727	10.2%
T	3322	7.2%
A	1691	3.6%
I	1354	2.9%
G	584	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	192753	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	42871	22.2%
5	29984	15.6%
2	18363	9.5%
3	13384	6.9%
4	10932	5.7%
M	10446	5.4%
D	8231	4.3%
6	6579	3.4%
7	6346	3.3%
B	6311	3.3%
Other values (10)	39306	20.4%

Codigo_ANPC
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	23175
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.015104911 × 10¹²

Minimum	2.015010001 × 10¹²
Maximum	2.015180069 × 10¹²
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	2.015010001 × 10¹²
5-th percentile	2.015010055 × 10¹²
Q1	2.015060012 × 10¹²
median	2.015120017 × 10¹²
Q3	2.01514006 × 10¹²
95-th percentile	2.015180017 × 10¹²
Maximum	2.015180069 × 10¹²
Range	170067470
Interquartile range (IQR)	80047573

Descriptive statistics

Standard deviation	53145771.6
Coefficient of variation (CV)	2.637369961 × 10^-5
Kurtosis	-1.0689232
Mean	2.015104911 × 10¹²
Median Absolute Deviation (MAD)	39989211
Skewness	-0.4462520891
Sum	4.670005631 × 10¹⁶
Variance	2.824473038 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.015160008 × 10¹²	1	< 0.1%
2.015160024 × 10¹²	1	< 0.1%
2.015130133 × 10¹²	1	< 0.1%
2.015130133 × 10¹²	1	< 0.1%
2.015100046 × 10¹²	1	< 0.1%
2.015130133 × 10¹²	1	< 0.1%
2.015140051 × 10¹²	1	< 0.1%
2.015130133 × 10¹²	1	< 0.1%
2.015130101 × 10¹²	1	< 0.1%
2.015050025 × 10¹²	1	< 0.1%
Other values (23165)	23165	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.015010001 × 10¹²	1	< 0.1%
2.015010001 × 10¹²	1	< 0.1%
2.015010001 × 10¹²	1	< 0.1%
2.015010001 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%
2.015010002 × 10¹²	1	< 0.1%

Value	Count	Frequency (%)
2.015180069 × 10¹²	1	< 0.1%
2.015180069 × 10¹²	1	< 0.1%
2.015180069 × 10¹²	1	< 0.1%
2.015180068 × 10¹²	1	< 0.1%
2.015180068 × 10¹²	1	< 0.1%
2.015180067 × 10¹²	1	< 0.1%
2.015180067 × 10¹²	1	< 0.1%
2.015180067 × 10¹²	1	< 0.1%
2.015180067 × 10¹²	1	< 0.1%
2.015180067 × 10¹²	1	< 0.1%

Tipo
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Florestal	15464
Agrícola	4163
Falso Alarme	2925
Queimada	623

Length

Max length	12
Median length	9
Mean length	9.172125135
Min length	8

Characters and Unicode

Total characters	212564
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Florestal
2nd row	Florestal
3rd row	Florestal
4th row	Falso Alarme
5th row	Agrícola

Common Values

Value	Count	Frequency (%)
Florestal	15464	66.7%
Agrícola	4163	18.0%
Falso Alarme	2925	12.6%
Queimada	623	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
florestal	15464	59.2%
agrícola	4163	16.0%
falso	2925	11.2%
alarme	2925	11.2%
queimada	623	2.4%

Most occurring characters

Value	Count	Frequency (%)
l	40941	19.3%
a	26723	12.6%
o	22552	10.6%
r	22552	10.6%
e	19012	8.9%
F	18389	8.7%
s	18389	8.7%
t	15464	7.3%
A	7088	3.3%
c	4163	2.0%
Other values (8)	17291	8.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	183539	86.3%
Uppercase Letter	26100	12.3%
Space Separator	2925	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	40941	22.3%
a	26723	14.6%
o	22552	12.3%
r	22552	12.3%
e	19012	10.4%
s	18389	10.0%
t	15464	8.4%
c	4163	2.3%
g	4163	2.3%
í	4163	2.3%
Other values (4)	5417	3.0%

Uppercase Letter

Value	Count	Frequency (%)
F	18389	70.5%
A	7088	27.2%
Q	623	2.4%

Space Separator

Value	Count	Frequency (%)
	2925	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	209639	98.6%
Common	2925	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	40941	19.5%
a	26723	12.7%
o	22552	10.8%
r	22552	10.8%
e	19012	9.1%
F	18389	8.8%
s	18389	8.8%
t	15464	7.4%
A	7088	3.4%
c	4163	2.0%
Other values (7)	14366	6.9%

Common

Value	Count	Frequency (%)
	2925	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	208401	98.0%
None	4163	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	40941	19.6%
a	26723	12.8%
o	22552	10.8%
r	22552	10.8%
e	19012	9.1%
F	18389	8.8%
s	18389	8.8%
t	15464	7.4%
A	7088	3.4%
c	4163	2.0%
Other values (7)	13128	6.3%

None

Value	Count	Frequency (%)
í	4163	100.0%

Distrito
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Porto	4444
Braga	2231
Lisboa	2225
Aveiro	1774
Viseu	1528
Other values (14)	10973

Length

Max length	16
Median length	14
Mean length	6.92030205
Min length	4

Characters and Unicode

Total characters	160378
Distinct characters	33
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Viana do Castelo
2nd row	Porto
3rd row	Braga
4th row	Viana do Castelo
5th row	Viseu

Common Values

Value	Count	Frequency (%)
Porto	4444	19.2%
Braga	2231	9.6%
Lisboa	2225	9.6%
Aveiro	1774	7.7%
Viseu	1528	6.6%
Viana do Castelo	1483	6.4%
Vila Real	1481	6.4%
Santarém	1328	5.7%
Setúbal	1173	5.1%
Leiria	906	3.9%
Other values (9)	4602	19.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
porto	4444	15.7%
braga	2231	7.9%
lisboa	2225	7.9%
castelo	2103	7.4%
aveiro	1774	6.3%
viana	1559	5.5%
do	1559	5.5%
viseu	1528	5.4%
vila	1481	5.2%
real	1481	5.2%
Other values (11)	7933	28.0%

Most occurring characters

Value	Count	Frequency (%)
a	26406	16.5%
o	19095	11.9%
r	15134	9.4%
i	11128	6.9%
e	10129	6.3%
t	9411	5.9%
l	6601	4.1%
s	5856	3.7%
	5143	3.2%
P	4807	3.0%
Other values (23)	46668	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	128400	80.1%
Uppercase Letter	26835	16.7%
Space Separator	5143	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	26406	20.6%
o	19095	14.9%
r	15134	11.8%
i	11128	8.7%
e	10129	7.9%
t	9411	7.3%
l	6601	5.1%
s	5856	4.6%
n	4164	3.2%
b	4147	3.2%
Other values (10)	16329	12.7%

Uppercase Letter

Value	Count	Frequency (%)
P	4807	17.9%
V	4568	17.0%
B	3946	14.7%
L	3131	11.7%
C	2852	10.6%
S	2501	9.3%
A	1774	6.6%
R	1481	5.5%
G	809	3.0%
F	584	2.2%
Other values (2)	382	1.4%

Space Separator

Value	Count	Frequency (%)
	5143	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	155235	96.8%
Common	5143	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	26406	17.0%
o	19095	12.3%
r	15134	9.7%
i	11128	7.2%
e	10129	6.5%
t	9411	6.1%
l	6601	4.3%
s	5856	3.8%
P	4807	3.1%
V	4568	2.9%
Other values (22)	42100	27.1%

Common

Value	Count	Frequency (%)
	5143	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	156838	97.8%
None	3540	2.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	26406	16.8%
o	19095	12.2%
r	15134	9.6%
i	11128	7.1%
e	10129	6.5%
t	9411	6.0%
l	6601	4.2%
s	5856	3.7%
	5143	3.3%
P	4807	3.1%
Other values (19)	43128	27.5%

None

Value	Count	Frequency (%)
é	1328	37.5%
ú	1173	33.1%
ç	733	20.7%
É	306	8.6%

Concelho
Categorical

HIGH CARDINALITY

Distinct	319
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Penafiel	477
Paredes	437
Sintra	405
Gondomar	386
Santa Maria da Feira	365
Other values (314)	21105

Length

Max length	27
Median length	22
Mean length	10.10015102
Min length	4

Characters and Unicode

Total characters	234071
Distinct characters	61
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.1%

Sample

1st row	Ponte de Lima
2nd row	Marco de Canaveses
3rd row	Vila Verde
4th row	Ponte de Lima
5th row	Castro Daire

Common Values

Value	Count	Frequency (%)
Penafiel	477	2.1%
Paredes	437	1.9%
Sintra	405	1.7%
Gondomar	386	1.7%
Santa Maria da Feira	365	1.6%
Vila Nova de Gaia	355	1.5%
Amarante	353	1.5%
Montalegre	347	1.5%
Santo Tirso	345	1.5%
Guimarães	342	1.5%
Other values (309)	19363	83.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	4091	10.4%
vila	1543	3.9%
do	1091	2.8%
da	1015	2.6%
nova	700	1.8%
ponte	523	1.3%
castelo	517	1.3%
paredes	504	1.3%
penafiel	477	1.2%
santa	411	1.0%
Other values (322)	28325	72.3%

Most occurring characters

Value	Count	Frequency (%)
a	34092	14.6%
e	22528	9.6%
o	18121	7.7%
r	16472	7.0%
	16022	6.8%
i	14634	6.3%
d	10658	4.6%
s	9712	4.1%
n	9535	4.1%
l	9469	4.0%
Other values (51)	72828	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	182649	78.0%
Uppercase Letter	34884	14.9%
Space Separator	16022	6.8%
Dash Punctuation	516	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	34092	18.7%
e	22528	12.3%
o	18121	9.9%
r	16472	9.0%
i	14634	8.0%
d	10658	5.8%
s	9712	5.3%
n	9535	5.2%
l	9469	5.2%
t	5698	3.1%
Other values (23)	31730	17.4%

Uppercase Letter

Value	Count	Frequency (%)
V	4353	12.5%
C	3558	10.2%
A	3510	10.1%
M	3483	10.0%
P	3309	9.5%
S	2890	8.3%
F	2138	6.1%
B	2037	5.8%
L	1791	5.1%
G	1473	4.2%
Other values (16)	6342	18.2%

Space Separator

Value	Count	Frequency (%)
	16022	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	516	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	217533	92.9%
Common	16538	7.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	34092	15.7%
e	22528	10.4%
o	18121	8.3%
r	16472	7.6%
i	14634	6.7%
d	10658	4.9%
s	9712	4.5%
n	9535	4.4%
l	9469	4.4%
t	5698	2.6%
Other values (49)	66614	30.6%

Common

Value	Count	Frequency (%)
	16022	96.9%
-	516	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	228670	97.7%
None	5401	2.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	34092	14.9%
e	22528	9.9%
o	18121	7.9%
r	16472	7.2%
	16022	7.0%
i	14634	6.4%
d	10658	4.7%
s	9712	4.2%
n	9535	4.2%
l	9469	4.1%
Other values (36)	67427	29.5%

None

Value	Count	Frequency (%)
ã	1995	36.9%
ç	1163	21.5%
é	730	13.5%
ó	573	10.6%
á	164	3.0%
â	121	2.2%
ú	106	2.0%
Á	98	1.8%
à	95	1.8%
ê	80	1.5%
Other values (5)	276	5.1%

Freguesia
Categorical

HIGH CARDINALITY

Distinct	3290
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Lordelo	113
São Pedro da Cova	87
Telões	84
Vilela	74
Moita	66
Other values (3285)	22751

Length

Max length	127
Median length	85
Mean length	12.41001079
Min length	2

Characters and Unicode

Total characters	287602
Distinct characters	70
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	642 ?
Unique (%)	2.8%

Sample

1st row	Serdedelo
2nd row	Vila Boa de Quires
3rd row	Lage
4th row	Boalhosa
5th row	Castro Daire

Common Values

Value	Count	Frequency (%)
Lordelo	113	0.5%
São Pedro da Cova	87	0.4%
Telões	84	0.4%
Vilela	74	0.3%
Moita	66	0.3%
São Salvador	64	0.3%
Nossa Senhora de Fátima	61	0.3%
Cabril	61	0.3%
Canelas	60	0.3%
São Cosme	57	0.2%
Other values (3280)	22448	96.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	3534	7.5%
são	2053	4.4%
do	1206	2.6%
e	1165	2.5%
das	1109	2.4%
da	976	2.1%
freguesias	969	2.1%
união	969	2.1%
santa	802	1.7%
vila	744	1.6%
Other values (2661)	33575	71.3%

Most occurring characters

Value	Count	Frequency (%)
a	35537	12.4%
e	26675	9.3%
o	25810	9.0%
	23928	8.3%
r	19460	6.8%
i	18127	6.3%
s	14630	5.1%
d	13444	4.7%
n	11174	3.9%
l	9547	3.3%
Other values (60)	89270	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	222774	77.5%
Uppercase Letter	38271	13.3%
Space Separator	23928	8.3%
Open Punctuation	840	0.3%
Close Punctuation	840	0.3%
Dash Punctuation	428	0.1%
Other Punctuation	427	0.1%
Connector Punctuation	94	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	35537	16.0%
e	26675	12.0%
o	25810	11.6%
r	19460	8.7%
i	18127	8.1%
s	14630	6.6%
d	13444	6.0%
n	11174	5.0%
l	9547	4.3%
t	6861	3.1%
Other values (25)	41509	18.6%

Uppercase Letter

Value	Count	Frequency (%)
S	6249	16.3%
C	4514	11.8%
M	3658	9.6%
A	3254	8.5%
P	2835	7.4%
V	2783	7.3%
B	2153	5.6%
R	1783	4.7%
F	1782	4.7%
L	1486	3.9%
Other values (18)	7774	20.3%

Other Punctuation

Value	Count	Frequency (%)
,	425	99.5%
/	2	0.5%

Space Separator

Value	Count	Frequency (%)
	23928	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	840	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	840	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	428	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	261045	90.8%
Common	26557	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	35537	13.6%
e	26675	10.2%
o	25810	9.9%
r	19460	7.5%
i	18127	6.9%
s	14630	5.6%
d	13444	5.2%
n	11174	4.3%
l	9547	3.7%
t	6861	2.6%
Other values (53)	79780	30.6%

Common

Value	Count	Frequency (%)
	23928	90.1%
(	840	3.2%
)	840	3.2%
-	428	1.6%
,	425	1.6%
_	94	0.4%
/	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	278203	96.7%
None	9399	3.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	35537	12.8%
e	26675	9.6%
o	25810	9.3%
	23928	8.6%
r	19460	7.0%
i	18127	6.5%
s	14630	5.3%
d	13444	4.8%
n	11174	4.0%
l	9547	3.4%
Other values (43)	79871	28.7%

None

Value	Count	Frequency (%)
ã	5413	57.6%
ç	1002	10.7%
ó	766	8.1%
é	524	5.6%
á	475	5.1%
õ	420	4.5%
ê	179	1.9%
í	142	1.5%
â	141	1.5%
ô	98	1.0%
Other values (7)	239	2.5%

Local
Unsupported

REJECTED
UNSUPPORTED

Missing	1
Missing (%)	< 0.1%
Memory size	1.8 MiB

INE
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3599
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105733.6689

Minimum	10101
Maximum	182413
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	10101
5-th percentile	11004
Q1	60206
median	121303
Q3	142111
95-th percentile	180413
Maximum	182413
Range	172312
Interquartile range (IQR)	81905

Descriptive statistics

Standard deviation	53162.19047
Coefficient of variation (CV)	0.502793396
Kurtosis	-1.069403339
Mean	105733.6689
Median Absolute Deviation (MAD)	38902
Skewness	-0.4443551614
Sum	2450377777
Variance	2826218495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
130410	87	0.4%
131013	86	0.4%
130409	71	0.3%
150603	62	0.3%
131715	57	0.2%
170601	56	0.2%
150702	54	0.2%
10514	51	0.2%
150804	51	0.2%
130135	50	0.2%
Other values (3589)	22550	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10101	4	< 0.1%
10102	2	< 0.1%
10103	1	< 0.1%
10104	14	0.1%
10105	5	< 0.1%
10107	3	< 0.1%
10108	3	< 0.1%
10109	4	< 0.1%
10110	2	< 0.1%
10111	1	< 0.1%

Value	Count	Frequency (%)
182413	3	< 0.1%
182412	1	< 0.1%
182411	6	< 0.1%
182410	1	< 0.1%
182409	2	< 0.1%
182403	8	< 0.1%
182401	2	< 0.1%
182341	2	< 0.1%
182338	1	< 0.1%
182337	15	0.1%

x
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15430
Distinct (%)	66.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	184868.252

Minimum	81317
Maximum	357897
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	81317
5-th percentile	105594.2
Q1	157090
median	179200
Q3	212096.5
95-th percentile	279399.9
Maximum	357897
Range	276580
Interquartile range (IQR)	55006.5

Descriptive statistics

Standard deviation	49472.36129
Coefficient of variation (CV)	0.2676087471
Kurtosis	0.03612058982
Mean	184868.252
Median Absolute Deviation (MAD)	27070
Skewness	0.444837951
Sum	4284321739
Variance	2447514531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
171800	27	0.1%
210256	27	0.1%
191212	27	0.1%
162491	25	0.1%
187299	24	0.1%
164306	23	0.1%
187116	23	0.1%
161792	23	0.1%
209391	23	0.1%
166231	22	0.1%
Other values (15420)	22931	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
81317	1	< 0.1%
82400	1	< 0.1%
83049	1	< 0.1%
83312	1	< 0.1%
83401	2	< 0.1%
83621	1	< 0.1%
83791	1	< 0.1%
84119	1	< 0.1%
84235	1	< 0.1%
84671	1	< 0.1%

Value	Count	Frequency (%)
357897	1	< 0.1%
357797	1	< 0.1%
357142	1	< 0.1%
355097	1	< 0.1%
354897	1	< 0.1%
351397	1	< 0.1%
348897	1	< 0.1%
348894	1	< 0.1%
348695	1	< 0.1%
348597	1	< 0.1%

y
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	15821
Distinct (%)	68.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	385179.1603

Minimum	4543
Maximum	608781
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	4543
5-th percentile	146347.5
Q1	269054
median	445575
Q3	487159
95-th percentile	537448
Maximum	608781
Range	604238
Interquartile range (IQR)	218105

Descriptive statistics

Standard deviation	135704.1142
Coefficient of variation (CV)	0.3523142687
Kurtosis	-0.3417675405
Mean	385179.1603
Median Absolute Deviation (MAD)	71177
Skewness	-0.830387953
Sum	8926527040
Variance	1.84156066 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
504989	27	0.1%
400993	25	0.1%
448705	25	0.1%
504716	24	0.1%
519031	23	0.1%
455000	23	0.1%
509986	23	0.1%
443105	23	0.1%
462302	21	0.1%
526258	21	0.1%
Other values (15811)	22940	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4543	1	< 0.1%
5596	1	< 0.1%
5632	1	< 0.1%
5653	1	< 0.1%
5895	1	< 0.1%
6299	1	< 0.1%
6771	1	< 0.1%
6777	1	< 0.1%
6896	1	< 0.1%
6960	1	< 0.1%

Value	Count	Frequency (%)
608781	1	< 0.1%
575885	2	< 0.1%
573906	1	< 0.1%
573204	1	< 0.1%
573174	1	< 0.1%
572708	1	< 0.1%
571599	1	< 0.1%
571326	1	< 0.1%
570702	1	< 0.1%
570287	2	< 0.1%

lat
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

lon
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

DataAlerta
Categorical

HIGH CARDINALITY

Distinct	346
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2015-08-09 00:00:00.000	406
2015-08-10 00:00:00.000	326
2015-08-08 00:00:00.000	318
2015-04-04 00:00:00.000	263
2015-08-07 00:00:00.000	233
Other values (341)	21629

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	533025
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	< 0.1%

Sample

1st row	2015-03-24 00:00:00.000
2nd row	2015-03-24 00:00:00.000
3rd row	2015-03-24 00:00:00.000
4th row	2015-03-24 00:00:00.000
5th row	2015-03-24 00:00:00.000

Common Values

Value	Count	Frequency (%)
2015-08-09 00:00:00.000	406	1.8%
2015-08-10 00:00:00.000	326	1.4%
2015-08-08 00:00:00.000	318	1.4%
2015-04-04 00:00:00.000	263	1.1%
2015-08-07 00:00:00.000	233	1.0%
2015-08-11 00:00:00.000	233	1.0%
2015-04-05 00:00:00.000	220	0.9%
2015-08-21 00:00:00.000	211	0.9%
2015-07-09 00:00:00.000	203	0.9%
2015-08-05 00:00:00.000	203	0.9%
Other values (336)	20559	88.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00.000	23175	50.0%
2015-08-09	406	0.9%
2015-08-10	326	0.7%
2015-08-08	318	0.7%
2015-04-04	263	0.6%
2015-08-07	233	0.5%
2015-08-11	233	0.5%
2015-04-05	220	0.5%
2015-08-21	211	0.5%
2015-08-20	203	0.4%
Other values (337)	20762	44.8%

Most occurring characters

Value	Count	Frequency (%)
0	264898	49.7%
-	46350	8.7%
:	46350	8.7%
1	34821	6.5%
2	33279	6.2%
5	27338	5.1%
	23175	4.3%
.	23175	4.3%
8	6990	1.3%
7	6780	1.3%
Other values (4)	19869	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	393975	73.9%
Other Punctuation	69525	13.0%
Dash Punctuation	46350	8.7%
Space Separator	23175	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	264898	67.2%
1	34821	8.8%
2	33279	8.4%
5	27338	6.9%
8	6990	1.8%
7	6780	1.7%
3	5910	1.5%
9	5305	1.3%
6	4663	1.2%
4	3991	1.0%

Other Punctuation

Value	Count	Frequency (%)
:	46350	66.7%
.	23175	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	46350	100.0%

Space Separator

Value	Count	Frequency (%)
	23175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	533025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	264898	49.7%
-	46350	8.7%
:	46350	8.7%
1	34821	6.5%
2	33279	6.2%
5	27338	5.1%
	23175	4.3%
.	23175	4.3%
8	6990	1.3%
7	6780	1.3%
Other values (4)	19869	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	533025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	264898	49.7%
-	46350	8.7%
:	46350	8.7%
1	34821	6.5%
2	33279	6.2%
5	27338	5.1%
	23175	4.3%
.	23175	4.3%
8	6990	1.3%
7	6780	1.3%
Other values (4)	19869	3.7%

HoraAlerta
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

DataExtincao
Categorical

HIGH CARDINALITY
MISSING

Distinct	349
Distinct (%)	1.5%
Missing	312
Missing (%)	1.3%
Memory size	1.8 MiB

2015-08-09 00:00:00.000	417
2015-08-10 00:00:00.000	321
2015-08-08 00:00:00.000	286
2015-04-04 00:00:00.000	250
2015-08-11 00:00:00.000	243
Other values (344)	21346

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	525849
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	< 0.1%

Sample

1st row	2015-03-24 00:00:00.000
2nd row	2015-03-24 00:00:00.000
3rd row	2015-03-24 00:00:00.000
4th row	2015-03-24 00:00:00.000
5th row	2015-03-24 00:00:00.000

Common Values

Value	Count	Frequency (%)
2015-08-09 00:00:00.000	417	1.8%
2015-08-10 00:00:00.000	321	1.4%
2015-08-08 00:00:00.000	286	1.2%
2015-04-04 00:00:00.000	250	1.1%
2015-08-11 00:00:00.000	243	1.0%
2015-08-07 00:00:00.000	234	1.0%
2015-04-05 00:00:00.000	233	1.0%
2015-07-09 00:00:00.000	209	0.9%
2015-08-21 00:00:00.000	202	0.9%
2015-08-05 00:00:00.000	199	0.9%
Other values (339)	20269	87.5%
(Missing)	312	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00.000	22863	50.0%
2015-08-09	417	0.9%
2015-08-10	321	0.7%
2015-08-08	286	0.6%
2015-04-04	250	0.5%
2015-08-11	243	0.5%
2015-08-07	234	0.5%
2015-04-05	233	0.5%
2015-07-09	209	0.5%
2015-08-21	202	0.4%
Other values (340)	20468	44.8%

Most occurring characters

Value	Count	Frequency (%)
0	261303	49.7%
-	45726	8.7%
:	45726	8.7%
1	34403	6.5%
2	32799	6.2%
5	26939	5.1%
	22863	4.3%
.	22863	4.3%
8	6848	1.3%
7	6709	1.3%
Other values (4)	19670	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	388671	73.9%
Other Punctuation	68589	13.0%
Dash Punctuation	45726	8.7%
Space Separator	22863	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	261303	67.2%
1	34403	8.9%
2	32799	8.4%
5	26939	6.9%
8	6848	1.8%
7	6709	1.7%
3	5828	1.5%
9	5260	1.4%
6	4607	1.2%
4	3975	1.0%

Other Punctuation

Value	Count	Frequency (%)
:	45726	66.7%
.	22863	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	45726	100.0%

Space Separator

Value	Count	Frequency (%)
	22863	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	525849	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	261303	49.7%
-	45726	8.7%
:	45726	8.7%
1	34403	6.5%
2	32799	6.2%
5	26939	5.1%
	22863	4.3%
.	22863	4.3%
8	6848	1.3%
7	6709	1.3%
Other values (4)	19670	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	525849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	261303	49.7%
-	45726	8.7%
:	45726	8.7%
1	34403	6.5%
2	32799	6.2%
5	26939	5.1%
	22863	4.3%
.	22863	4.3%
8	6848	1.3%
7	6709	1.3%
Other values (4)	19670	3.7%

HoraExtincao
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	317
Missing (%)	1.4%
Memory size	1.1 MiB

Data1Intervencao
Categorical

HIGH CARDINALITY
MISSING

Distinct	346
Distinct (%)	1.6%
Missing	1199
Missing (%)	5.2%
Memory size	1.7 MiB

2015-08-09 00:00:00.000	394
2015-08-10 00:00:00.000	312
2015-08-08 00:00:00.000	297
2015-04-04 00:00:00.000	248
2015-08-11 00:00:00.000	223
Other values (341)	20502

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	505448
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.1%

Sample

1st row	2015-03-24 00:00:00.000
2nd row	2015-03-24 00:00:00.000
3rd row	2015-03-24 00:00:00.000
4th row	2015-03-24 00:00:00.000
5th row	2015-03-24 00:00:00.000

Common Values

Value	Count	Frequency (%)
2015-08-09 00:00:00.000	394	1.7%
2015-08-10 00:00:00.000	312	1.3%
2015-08-08 00:00:00.000	297	1.3%
2015-04-04 00:00:00.000	248	1.1%
2015-08-11 00:00:00.000	223	1.0%
2015-08-07 00:00:00.000	222	1.0%
2015-04-05 00:00:00.000	218	0.9%
2015-08-21 00:00:00.000	203	0.9%
2015-08-05 00:00:00.000	194	0.8%
2015-08-20 00:00:00.000	193	0.8%
Other values (336)	19472	84.0%
(Missing)	1199	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00.000	21976	50.0%
2015-08-09	394	0.9%
2015-08-10	312	0.7%
2015-08-08	297	0.7%
2015-04-04	248	0.6%
2015-08-11	223	0.5%
2015-08-07	222	0.5%
2015-04-05	218	0.5%
2015-08-21	203	0.5%
2015-08-05	194	0.4%
Other values (337)	19665	44.7%

Most occurring characters

Value	Count	Frequency (%)
0	251241	49.7%
-	43952	8.7%
:	43952	8.7%
1	32992	6.5%
2	31520	6.2%
5	25942	5.1%
	21976	4.3%
.	21976	4.3%
8	6598	1.3%
7	6410	1.3%
Other values (4)	18889	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	373592	73.9%
Other Punctuation	65928	13.0%
Dash Punctuation	43952	8.7%
Space Separator	21976	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	251241	67.3%
1	32992	8.8%
2	31520	8.4%
5	25942	6.9%
8	6598	1.8%
7	6410	1.7%
3	5634	1.5%
9	5022	1.3%
6	4415	1.2%
4	3818	1.0%

Other Punctuation

Value	Count	Frequency (%)
:	43952	66.7%
.	21976	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	43952	100.0%

Space Separator

Value	Count	Frequency (%)
	21976	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	505448	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	251241	49.7%
-	43952	8.7%
:	43952	8.7%
1	32992	6.5%
2	31520	6.2%
5	25942	5.1%
	21976	4.3%
.	21976	4.3%
8	6598	1.3%
7	6410	1.3%
Other values (4)	18889	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	505448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	251241	49.7%
-	43952	8.7%
:	43952	8.7%
1	32992	6.5%
2	31520	6.2%
5	25942	5.1%
	21976	4.3%
.	21976	4.3%
8	6598	1.3%
7	6410	1.3%
Other values (4)	18889	3.7%

Hora1Intervencao
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	1213
Missing (%)	5.2%
Memory size	1.0 MiB

FonteAlerta
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	23175
Missing (%)	100.0%
Memory size	181.2 KiB

NUT
Categorical

HIGH CARDINALITY

Distinct	3861
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

PT11040410	86
PT11051013	86
PT11050406	69
PT11040409	69
PT13030603	62
Other values (3856)	22803

Length

Max length	10
Median length	10
Mean length	9.997152104
Min length	7

Characters and Unicode

Total characters	231684
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	887 ?
Unique (%)	3.8%

Sample

1st row	PT11010746
2nd row	PT11050731
3rd row	PT11021323
4th row	PT11010709
5th row	PT12050304

Common Values

Value	Count	Frequency (%)
PT11040410	86	0.4%
PT11051013	86	0.4%
PT11050406	69	0.3%
PT11040409	69	0.3%
PT13030603	62	0.3%
PT11041715	57	0.2%
PT11050505	52	0.2%
PT13030702	51	0.2%
PT11050135	50	0.2%
PT11080601	50	0.2%
Other values (3851)	22543	97.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pt11040410	86	0.4%
pt11051013	86	0.4%
pt11050406	69	0.3%
pt11040409	69	0.3%
pt13030603	62	0.3%
pt11041715	57	0.2%
pt11050505	52	0.2%
pt13030702	51	0.2%
pt11080601	50	0.2%
pt11050905	50	0.2%
Other values (3851)	22543	97.3%

Most occurring characters

Value	Count	Frequency (%)
1	60751	26.2%
0	53190	23.0%
P	23175	10.0%
T	23175	10.0%
3	15584	6.7%
2	15076	6.5%
5	10621	4.6%
4	10122	4.4%
8	5432	2.3%
7	5264	2.3%
Other values (2)	9294	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	185334	80.0%
Uppercase Letter	46350	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	60751	32.8%
0	53190	28.7%
3	15584	8.4%
2	15076	8.1%
5	10621	5.7%
4	10122	5.5%
8	5432	2.9%
7	5264	2.8%
6	5184	2.8%
9	4110	2.2%

Uppercase Letter

Value	Count	Frequency (%)
P	23175	50.0%
T	23175	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	185334	80.0%
Latin	46350	20.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	60751	32.8%
0	53190	28.7%
3	15584	8.4%
2	15076	8.1%
5	10621	5.7%
4	10122	5.5%
8	5432	2.9%
7	5264	2.8%
6	5184	2.8%
9	4110	2.2%

Latin

Value	Count	Frequency (%)
P	23175	50.0%
T	23175	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231684	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	60751	26.2%
0	53190	23.0%
P	23175	10.0%
T	23175	10.0%
3	15584	6.7%
2	15076	6.5%
5	10621	4.6%
4	10122	4.4%
8	5432	2.3%
7	5264	2.3%
Other values (2)	9294	4.0%

AA_Povoamento (ha)
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	1023
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.02467149

Minimum	0
Maximum	1548.92
Zeros	18165
Zeros (%)	78.4%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1.1515
Maximum	1548.92
Range	1548.92
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	19.48799852
Coefficient of variation (CV)	19.01877697
Kurtosis	2771.120365
Mean	1.02467149
Median Absolute Deviation (MAD)	0
Skewness	46.40516403
Sum	23746.76177
Variance	379.7820864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	18165	78.4%
0.01	311	1.3%
0.1	273	1.2%
0.5	264	1.1%
1	247	1.1%
0.05	241	1.0%
0.02	215	0.9%
0.2	212	0.9%
0.03	151	0.7%
2	126	0.5%
Other values (1013)	2970	12.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	18165	78.4%
0.0001	10	< 0.1%
0.0002	5	< 0.1%
0.0003	3	< 0.1%
0.0004	2	< 0.1%
0.0005	7	< 0.1%
0.0006	1	< 0.1%
0.000636	1	< 0.1%
0.0009	2	< 0.1%
0.001	54	0.2%

Value	Count	Frequency (%)
1548.92	1	< 0.1%
1082	1	< 0.1%
1048	1	< 0.1%
686	1	< 0.1%
593.83	1	< 0.1%
583.4576	1	< 0.1%
576.15	1	< 0.1%
550	1	< 0.1%
530	1	< 0.1%
501	1	< 0.1%

AA_Mato (ha)
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	1886
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.75608107

Minimum	0
Maximum	4499
Zeros	9884
Zeros (%)	42.6%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.005
Q3	0.1
95-th percentile	2.403
Maximum	4499
Range	4499
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	40.18774792
Coefficient of variation (CV)	22.8849047
Kurtosis	7842.249642
Mean	1.75608107
Median Absolute Deviation (MAD)	0.005
Skewness	80.19057206
Sum	40697.17879
Variance	1615.055083
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9884	42.6%
0.01	1245	5.4%
0.02	792	3.4%
0.05	735	3.2%
0.1	651	2.8%
0.005	570	2.5%
0.5	516	2.2%
0.001	497	2.1%
0.03	433	1.9%
1	429	1.9%
Other values (1876)	7423	32.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9884	42.6%
1 × 10^-5	1	< 0.1%
2 × 10^-5	2	< 0.1%
5 × 10^-5	2	< 0.1%
7 × 10^-5	1	< 0.1%
0.0001	132	0.6%
0.0002	74	0.3%
0.0003	28	0.1%
0.0004	14	0.1%
0.00045	1	< 0.1%

Value	Count	Frequency (%)
4499	1	< 0.1%
2543.56	1	< 0.1%
2129.5	1	< 0.1%
1031	1	< 0.1%
955.11	1	< 0.1%
734.56	1	< 0.1%
678.82	1	< 0.1%
555	1	< 0.1%
520.14	1	< 0.1%
458	1	< 0.1%

AA_Agricola (ha)
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	1160
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1677520227

Minimum	0
Maximum	224.16
Zeros	19012
Zeros (%)	82.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.15
Maximum	224.16
Range	224.16
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.089876847
Coefficient of variation (CV)	18.41931201
Kurtosis	2299.7018
Mean	0.1677520227
Median Absolute Deviation (MAD)	0
Skewness	42.94837127
Sum	3887.653127
Variance	9.547338927
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19012	82.0%
0.01	288	1.2%
0.001	239	1.0%
0.005	232	1.0%
0.02	201	0.9%
0.05	145	0.6%
0.002	145	0.6%
0.03	136	0.6%
0.0001	105	0.5%
0.1	86	0.4%
Other values (1150)	2586	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19012	82.0%
5 × 10^-5	2	< 0.1%
0.0001	105	0.5%
0.00015	2	< 0.1%
0.0002	44	0.2%
0.0003	27	0.1%
0.000354	1	< 0.1%
0.0004	22	0.1%
0.00043	1	< 0.1%
0.0005	66	0.3%

Value	Count	Frequency (%)
224.16	1	< 0.1%
165	1	< 0.1%
158	1	< 0.1%
127.5	1	< 0.1%
120	1	< 0.1%
119.65	1	< 0.1%
109	1	< 0.1%
84	1	< 0.1%
73	1	< 0.1%
67	1	< 0.1%

AA_EspacosFlorestais (pov+mato)(ha)
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	2477
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.780752559

Minimum	0
Maximum	4661
Zeros	6824
Zeros (%)	29.4%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.02
Q3	0.23
95-th percentile	4
Maximum	4661
Range	4661
Interquartile range (IQR)	0.23

Descriptive statistics

Standard deviation	49.35001617
Coefficient of variation (CV)	17.74700018
Kurtosis	4456.337352
Mean	2.780752559
Median Absolute Deviation (MAD)	0.02
Skewness	58.04817374
Sum	64443.94056
Variance	2435.424096
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6824	29.4%
0.01	1437	6.2%
0.02	924	4.0%
0.05	867	3.7%
0.1	778	3.4%
0.005	640	2.8%
0.5	561	2.4%
0.001	529	2.3%
0.03	517	2.2%
1	481	2.1%
Other values (2467)	9617	41.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6824	29.4%
1 × 10^-5	1	< 0.1%
2 × 10^-5	2	< 0.1%
5 × 10^-5	2	< 0.1%
7 × 10^-5	1	< 0.1%
0.0001	142	0.6%
0.0002	79	0.3%
0.0003	31	0.1%
0.0004	16	0.1%
0.00045	1	< 0.1%

Value	Count	Frequency (%)
4661	1	< 0.1%
3023.99	1	< 0.1%
2501.5	1	< 0.1%
1574.03	1	< 0.1%
1422	1	< 0.1%
1183	1	< 0.1%
1158	1	< 0.1%
1105	1	< 0.1%
985	1	< 0.1%
845	1	< 0.1%

AA_Total (pov+mato+agric) (ha)
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	3032
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.948504582

Minimum	0
Maximum	4673
Zeros	2925
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.005
median	0.04
Q3	0.34
95-th percentile	4.26
Maximum	4673
Range	4673
Interquartile range (IQR)	0.335

Descriptive statistics

Standard deviation	50.08396981
Coefficient of variation (CV)	16.98622757
Kurtosis	4276.294514
Mean	2.948504582
Median Absolute Deviation (MAD)	0.04
Skewness	56.72923777
Sum	68331.59368
Variance	2508.404032
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2925	12.6%
0.01	1708	7.4%
0.02	1112	4.8%
0.05	1003	4.3%
0.005	871	3.8%
0.1	855	3.7%
0.001	765	3.3%
0.03	648	2.8%
0.5	630	2.7%
1	527	2.3%
Other values (3022)	12131	52.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2925	12.6%
1 × 10^-5	1	< 0.1%
2 × 10^-5	2	< 0.1%
5 × 10^-5	3	< 0.1%
7 × 10^-5	1	< 0.1%
0.0001	247	1.1%
0.00015	2	< 0.1%
0.0002	123	0.5%
0.0003	58	0.3%
0.000354	1	< 0.1%

Value	Count	Frequency (%)
4673	1	< 0.1%
3023.99	1	< 0.1%
2557.3	1	< 0.1%
1580	1	< 0.1%
1574.03	1	< 0.1%
1190	1	< 0.1%
1183	1	< 0.1%
1105	1	< 0.1%
985	1	< 0.1%
845	1	< 0.1%

Reacendimentos
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0	21742
1	1433

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	21742	93.8%
1	1433	6.2%

Queimada
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0	22552
1	623

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	22552	97.3%
1	623	2.7%

Falso Alarme
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0	20250
1	2925

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Most occurring characters

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20250	87.4%
1	2925	12.6%

Fogacho
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

1	12527
0	10648

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Most occurring characters

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	12527	54.1%
0	10648	45.9%

Incendio
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0	19851
1	3324

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Most occurring characters

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19851	85.7%
1	3324	14.3%

Agricola
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0	19399
1	3776

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	23175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Most occurring characters

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23175	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	23175	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19399	83.7%
1	3776	16.3%

Perimetro
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	87
Distinct (%)	10.5%
Missing	22349
Missing (%)	96.4%
Memory size	758.9 KiB

Barroso	121
Serra da Cabreira	63
Soajo e Peneda	45
Alvão	36
Serra amarela	34
Other values (82)	527

Length

Max length	35
Median length	24
Mean length	13.7094431
Min length	4

Characters and Unicode

Total characters	11324
Distinct characters	48
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	2.9%

Sample

1st row	Pampilhosa da Serra
2nd row	Mondim de Basto
3rd row	Soajo e Peneda
4th row	Ribeira de Pena
5th row	Serra do Leomil

Common Values

Value	Count	Frequency (%)
Barroso	121	0.5%
Serra da Cabreira	63	0.3%
Soajo e Peneda	45	0.2%
Alvão	36	0.2%
Serra amarela	34	0.1%
Ribeira de Pena	31	0.1%
Chaves	28	0.1%
Boalhosa	26	0.1%
Serra de Anta	23	0.1%
Serra da Padrela	22	0.1%
Other values (77)	397	1.7%
(Missing)	22349	96.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
serra	294	13.8%
de	172	8.1%
da	169	7.9%
barroso	121	5.7%
e	117	5.5%
do	65	3.1%
cabreira	63	3.0%
são	53	2.5%
soajo	45	2.1%
peneda	45	2.1%
Other values (120)	986	46.3%

Most occurring characters

Value	Count	Frequency (%)
a	1739	15.4%
r	1384	12.2%
	1304	11.5%
e	1266	11.2%
o	941	8.3%
d	600	5.3%
S	457	4.0%
i	409	3.6%
s	358	3.2%
n	323	2.9%
Other values (38)	2543	22.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8482	74.9%
Uppercase Letter	1538	13.6%
Space Separator	1304	11.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1739	20.5%
r	1384	16.3%
e	1266	14.9%
o	941	11.1%
d	600	7.1%
i	409	4.8%
s	358	4.2%
n	323	3.8%
l	314	3.7%
t	270	3.2%
Other values (18)	878	10.4%

Uppercase Letter

Value	Count	Frequency (%)
S	457	29.7%
M	169	11.0%
B	167	10.9%
C	164	10.7%
P	137	8.9%
A	98	6.4%
R	52	3.4%
V	50	3.3%
L	49	3.2%
E	45	2.9%
Other values (9)	150	9.8%

Space Separator

Value	Count	Frequency (%)
	1304	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10020	88.5%
Common	1304	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1739	17.4%
r	1384	13.8%
e	1266	12.6%
o	941	9.4%
d	600	6.0%
S	457	4.6%
i	409	4.1%
s	358	3.6%
n	323	3.2%
l	314	3.1%
Other values (37)	2229	22.2%

Common

Value	Count	Frequency (%)
	1304	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11160	98.6%
None	164	1.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1739	15.6%
r	1384	12.4%
	1304	11.7%
e	1266	11.3%
o	941	8.4%
d	600	5.4%
S	457	4.1%
i	409	3.7%
s	358	3.2%
n	323	2.9%
Other values (32)	2379	21.3%

None

Value	Count	Frequency (%)
ã	126	76.8%
Á	19	11.6%
ç	8	4.9%
ó	5	3.0%
é	5	3.0%
ô	1	0.6%

APS
Categorical

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	2.6%
Missing	22116
Missing (%)	95.4%
Memory size	775.2 KiB

PENEDA-GERÊS	200
SERRA DA ESTRELA	193
DOURO INTERNACIONAL	141
MONTESINHO	121
SINTRA-CASCAIS	85
Other values (23)	319

Length

Max length	50
Median length	37
Mean length	16.84796978
Min length	5

Characters and Unicode

Total characters	17842
Distinct characters	42
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.8%

Sample

1st row	SERRA DE SÃO MAMEDE
2nd row	SERRA DE SÃO MAMEDE
3rd row	SERRA DA ESTRELA
4th row	ARRÁBIDA
5th row	DOURO INTERNACIONAL

Common Values

Value	Count	Frequency (%)
PENEDA-GERÊS	200	0.9%
SERRA DA ESTRELA	193	0.8%
DOURO INTERNACIONAL	141	0.6%
MONTESINHO	121	0.5%
SINTRA-CASCAIS	85	0.4%
SERRAS DE AIRE E CANDEEIROS	84	0.4%
SUDOESTE ALENTEJANO E COSTA VICENTINA	55	0.2%
ARRÁBIDA	40	0.2%
SERRA DE SÃO MAMEDE	26	0.1%
SERRA DE MONTEJUNTO	21	0.1%
Other values (18)	93	0.4%
(Missing)	22116	95.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
serra	243	9.7%
da	224	9.0%
peneda-gerês	200	8.0%
estrela	193	7.7%
de	149	6.0%
e	143	5.7%
internacional	142	5.7%
douro	141	5.6%
montesinho	121	4.8%
sintra-cascais	85	3.4%
Other values (51)	857	34.3%

Most occurring characters

Value	Count	Frequency (%)
E	2508	14.1%
A	2245	12.6%
R	1771	9.9%
S	1567	8.8%
	1439	8.1%
N	1351	7.6%
O	1145	6.4%
I	1010	5.7%
D	996	5.6%
T	849	4.8%
Other values (32)	2961	16.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16095	90.2%
Space Separator	1439	8.1%
Dash Punctuation	285	1.6%
Lowercase Letter	21	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	2508	15.6%
A	2245	13.9%
R	1771	11.0%
S	1567	9.7%
N	1351	8.4%
O	1145	7.1%
I	1010	6.3%
D	996	6.2%
T	849	5.3%
C	577	3.6%
Other values (19)	2076	12.9%

Lowercase Letter

Value	Count	Frequency (%)
r	6	28.6%
e	4	19.0%
t	2	9.5%
á	2	9.5%
i	2	9.5%
a	2	9.5%
s	1	4.8%
b	1	4.8%
d	1	4.8%

Space Separator

Value	Count	Frequency (%)
	1439	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	285	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16116	90.3%
Common	1726	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	2508	15.6%
A	2245	13.9%
R	1771	11.0%
S	1567	9.7%
N	1351	8.4%
O	1145	7.1%
I	1010	6.3%
D	996	6.2%
T	849	5.3%
C	577	3.6%
Other values (28)	2097	13.0%

Common

Value	Count	Frequency (%)
	1439	83.4%
-	285	16.5%
(	1	0.1%
)	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17519	98.2%
None	323	1.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	2508	14.3%
A	2245	12.8%
R	1771	10.1%
S	1567	8.9%
	1439	8.2%
N	1351	7.7%
O	1145	6.5%
I	1010	5.8%
D	996	5.7%
T	849	4.8%
Other values (24)	2638	15.1%

None

Value	Count	Frequency (%)
Ê	200	61.9%
Á	55	17.0%
Ã	40	12.4%
Ó	17	5.3%
È	7	2.2%
á	2	0.6%
É	1	0.3%
Ú	1	0.3%

Causa
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	92
Distinct (%)	0.6%
Missing	7013
Missing (%)	30.3%
Infinite	0
Infinite (%)	0.0%
Mean	356.4273605

Minimum	2
Maximum	711
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	181.2 KiB

Quantile statistics

Minimum	2
5-th percentile	14
Q1	124
median	448
Q3	630
95-th percentile	711
Maximum	711
Range	709
Interquartile range (IQR)	506

Descriptive statistics

Standard deviation	246.9737621
Coefficient of variation (CV)	0.6929147128
Kurtosis	-1.652877711
Mean	356.4273605
Median Absolute Deviation (MAD)	263
Skewness	0.07789879425
Sum	5760579
Variance	60996.03918
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
630	2517	10.9%
448	2051	8.9%
711	1536	6.6%
610	1504	6.5%
125	1012	4.4%
121	884	3.8%
60	794	3.4%
124	792	3.4%
122	692	3.0%
449	577	2.5%
Other values (82)	3803	16.4%
(Missing)	7013	30.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	< 0.1%
3	4	< 0.1%
4	176	0.8%
5	2	< 0.1%
6	561	2.4%
11	23	0.1%
12	22	0.1%
13	11	< 0.1%
14	16	0.1%
15	17	0.1%

Value	Count	Frequency (%)
711	1536	6.6%
630	2517	10.9%
620	57	0.2%
610	1504	6.5%
449	577	2.5%
448	2051	8.9%
446	28	0.1%
445	18	0.1%
444	18	0.1%
441	5	< 0.1%

TipoCausa
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	7013
Missing (%)	30.3%
Memory size	1.3 MiB

Negligente	5957
Desconhecida	5433
Intencional	3086
Reacendimento	1536
Natural	150

Length

Max length	13
Median length	12
Mean length	11.12052964
Min length	7

Characters and Unicode

Total characters	179730
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negligente
2nd row	Negligente
3rd row	Desconhecida
4th row	Desconhecida
5th row	Desconhecida

Common Values

Value	Count	Frequency (%)
Negligente	5957	25.7%
Desconhecida	5433	23.4%
Intencional	3086	13.3%
Reacendimento	1536	6.6%
Natural	150	0.6%
(Missing)	7013	30.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
negligente	5957	36.9%
desconhecida	5433	33.6%
intencional	3086	19.1%
reacendimento	1536	9.5%
natural	150	0.9%

Most occurring characters

Value	Count	Frequency (%)
e	36431	20.3%
n	23720	13.2%
i	16012	8.9%
c	15488	8.6%
g	11914	6.6%
t	10729	6.0%
a	10355	5.8%
o	10055	5.6%
l	9193	5.1%
d	6969	3.9%
Other values (9)	28864	16.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	163568	91.0%
Uppercase Letter	16162	9.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36431	22.3%
n	23720	14.5%
i	16012	9.8%
c	15488	9.5%
g	11914	7.3%
t	10729	6.6%
a	10355	6.3%
o	10055	6.1%
l	9193	5.6%
d	6969	4.3%
Other values (5)	12702	7.8%

Uppercase Letter

Value	Count	Frequency (%)
N	6107	37.8%
D	5433	33.6%
I	3086	19.1%
R	1536	9.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	179730	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36431	20.3%
n	23720	13.2%
i	16012	8.9%
c	15488	8.6%
g	11914	6.6%
t	10729	6.0%
a	10355	5.8%
o	10055	5.6%
l	9193	5.1%
d	6969	3.9%
Other values (9)	28864	16.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	36431	20.3%
n	23720	13.2%
i	16012	8.9%
c	15488	8.6%
g	11914	6.6%
t	10729	6.0%
a	10355	5.8%
o	10055	5.6%
l	9193	5.1%
d	6969	3.9%
Other values (9)	28864	16.1%

Região PROF
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	2
Missing (%)	< 0.1%
Memory size	1.6 MiB

Entre Douro e Minho	9024
Ribatejo e Oeste	4694
Beira Litoral	2767
Trás-os-Montes	2195
-	1279
Other values (6)	3214

Length

Max length	21
Median length	19
Mean length	14.98908212
Min length	1

Characters and Unicode

Total characters	347342
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entre Douro e Minho
2nd row	Entre Douro e Minho
3rd row	Entre Douro e Minho
4th row	Entre Douro e Minho
5th row	Beira Litoral

Common Values

Value	Count	Frequency (%)
Entre Douro e Minho	9024	38.9%
Ribatejo e Oeste	4694	20.3%
Beira Litoral	2767	11.9%
Trás-os-Montes	2195	9.5%
-	1279	5.5%
Alentejo	1264	5.5%
Beira Interior	1185	5.1%
Algarve	583	2.5%
Norte	78	0.3%
Lisboa e Vale do Tejo	67	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
e	13785	21.6%
entre	9024	14.1%
douro	9024	14.1%
minho	9024	14.1%
ribatejo	4694	7.4%
oeste	4694	7.4%
beira	3952	6.2%
litoral	2767	4.3%
trás-os-montes	2195	3.4%
	1279	2.0%
Other values (9)	3415	5.3%

Most occurring characters

Value	Count	Frequency (%)
e	47583	13.7%
o	41688	12.0%
	40680	11.7%
r	30030	8.6%
t	25938	7.5%
n	22729	6.5%
i	21689	6.2%
a	12130	3.5%
s	11346	3.3%
M	11219	3.2%
Other values (22)	82310	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	250076	72.0%
Uppercase Letter	50917	14.7%
Space Separator	40680	11.7%
Dash Punctuation	5669	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	47583	19.0%
o	41688	16.7%
r	30030	12.0%
t	25938	10.4%
n	22729	9.1%
i	21689	8.7%
a	12130	4.9%
s	11346	4.5%
h	9024	3.6%
u	9024	3.6%
Other values (7)	18895	7.6%

Uppercase Letter

Value	Count	Frequency (%)
M	11219	22.0%
E	9024	17.7%
D	9024	17.7%
O	4694	9.2%
R	4694	9.2%
B	3952	7.8%
L	2834	5.6%
T	2262	4.4%
A	1847	3.6%
I	1185	2.3%
Other values (3)	182	0.4%

Space Separator

Value	Count	Frequency (%)
	40680	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5669	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	300993	86.7%
Common	46349	13.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	47583	15.8%
o	41688	13.9%
r	30030	10.0%
t	25938	8.6%
n	22729	7.6%
i	21689	7.2%
a	12130	4.0%
s	11346	3.8%
M	11219	3.7%
h	9024	3.0%
Other values (20)	67617	22.5%

Common

Value	Count	Frequency (%)
	40680	87.8%
-	5669	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	345147	99.4%
None	2195	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	47583	13.8%
o	41688	12.1%
	40680	11.8%
r	30030	8.7%
t	25938	7.5%
n	22729	6.6%
i	21689	6.3%
a	12130	3.5%
s	11346	3.3%
M	11219	3.3%
Other values (21)	80115	23.2%

None

Value	Count	Frequency (%)
á	2195	100.0%

UGF
Categorical

HIGH CORRELATION

Distinct	27
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	1.6 MiB

Tâmega	3276
AML	2330
AMP e Entre Douro e Vouga	2226
Baixo Minho	2110
Centro Litoral	1565
Other values (22)	11667

Length

Max length	58
Median length	25
Mean length	10.83498749
Min length	1

Characters and Unicode

Total characters	251090
Distinct characters	42
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alto Minho
2nd row	Tâmega
3rd row	Baixo Minho
4th row	Alto Minho
5th row	Dão Lafões

Common Values

Value	Count	Frequency (%)
Tâmega	3276	14.1%
AML	2330	10.1%
AMP e Entre Douro e Vouga	2226	9.6%
Baixo Minho	2110	9.1%
Centro Litoral	1565	6.8%
Alto Minho	1412	6.1%
Ribatejo	1344	5.8%
-	1279	5.5%
Oeste	1021	4.4%
Douro	901	3.9%
Other values (17)	5710	24.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
e	5622	11.8%
minho	3550	7.5%
tâmega	3312	7.0%
douro	3163	6.7%
baixo	2492	5.2%
aml	2330	4.9%
entre	2262	4.8%
vouga	2262	4.8%
amp	2226	4.7%
litoral	1814	3.8%
Other values (24)	18465	38.9%

Most occurring characters

Value	Count	Frequency (%)
o	28843	11.5%
e	26646	10.6%
	24216	9.6%
r	18825	7.5%
a	17631	7.0%
t	15210	6.1%
i	12816	5.1%
n	11327	4.5%
A	8224	3.3%
M	8208	3.3%
Other values (32)	79144	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	175880	70.0%
Uppercase Letter	49607	19.8%
Space Separator	24324	9.7%
Dash Punctuation	1279	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	28843	16.4%
e	26646	15.2%
r	18825	10.7%
a	17631	10.0%
t	15210	8.6%
i	12816	7.3%
n	11327	6.4%
l	7709	4.4%
g	6157	3.5%
u	5781	3.3%
Other values (13)	24935	14.2%

Uppercase Letter

Value	Count	Frequency (%)
A	8224	16.6%
M	8208	16.5%
L	4952	10.0%
B	4482	9.0%
D	3905	7.9%
P	3733	7.5%
T	3312	6.7%
V	2262	4.6%
E	2262	4.6%
C	1863	3.8%
Other values (6)	6404	12.9%

Space Separator

Value	Count	Frequency (%)
	24216	99.6%
	108	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	1279	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	225487	89.8%
Common	25603	10.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	28843	12.8%
e	26646	11.8%
r	18825	8.3%
a	17631	7.8%
t	15210	6.7%
i	12816	5.7%
n	11327	5.0%
A	8224	3.6%
M	8208	3.6%
l	7709	3.4%
Other values (29)	70048	31.1%

Common

Value	Count	Frequency (%)
	24216	94.6%
-	1279	5.0%
	108	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	246084	98.0%
None	5006	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	28843	11.7%
e	26646	10.8%
	24216	9.8%
r	18825	7.6%
a	17631	7.2%
t	15210	6.2%
i	12816	5.2%
n	11327	4.6%
A	8224	3.3%
M	8208	3.3%
Other values (27)	74138	30.1%

None

Value	Count	Frequency (%)
â	3312	66.2%
ã	742	14.8%
õ	742	14.8%
	108	2.2%
Á	102	2.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Ano	Codigo SGIF	Codigo_ANPC	Tipo	Distrito	Concelho	Freguesia	Local	INE	x	y	lat	lon	DataAlerta	HoraAlerta	DataExtincao	HoraExtincao	Data1Intervencao	Hora1Intervencao	FonteAlerta	NUT	AA_Povoamento (ha)	AA_Mato (ha)	AA_EspacosFlorestais (pov+mato)(ha)	AA_Total (pov+mato+agric) (ha)	Reacendimentos	Falso Alarme	Fogacho	Incendio	Perimetro	APS	Causa	TipoCausa	Região PROF	UGF
0	2015	DM315252	2015160007544	Florestal	Viana do Castelo	Ponte de Lima	Serdedelo	VALE DE TROVELA (SERDEDELO)	160746	167814	530896	41:44:48.5663999999878''	8:31:12.3276000000027''	2015-03-24 00:00:00.000	17:01:00	2015-03-24 00:00:00.000	18:09:00	2015-03-24 00:00:00.000	17:10:00	NaN	PT11010746	2.50	0.00	2.50	2.50	0	0	0	1	NaN	NaN	122.0	Negligente	Entre Douro e Minho	Alto Minho
1	2015	DM215305	2015130043758	Florestal	Porto	Marco de Canaveses	Vila Boa de Quires	LUGAR DO FOFO	130731	193731	471896	41:12:58.4280000000109''	8:12:28.3788000000025''	2015-03-24 00:00:00.000	17:10:00	2015-03-24 00:00:00.000	18:47:00	2015-03-24 00:00:00.000	17:16:00	NaN	PT11050731	0.00	1.35	1.35	1.35	0	0	0	1	NaN	NaN	122.0	Negligente	Entre Douro e Minho	Tâmega
2	2015	DM415293	2015030021973	Florestal	Braga	Vila Verde	Lage	RUA PROF ABEL MADEIRA	31323	172162	517209	41:37:25.5539999999957''	8:28:1.8084000000006''	2015-03-24 00:00:00.000	19:15:00	2015-03-24 00:00:00.000	20:00:00	2015-03-24 00:00:00.000	19:25:00	NaN	PT11021323	0.26	0.00	0.26	0.26	0	0	1	0	NaN	NaN	60.0	Desconhecida	Entre Douro e Minho	Baixo Minho
3	2015	DM315261	2015160007563	Falso Alarme	Viana do Castelo	Ponte de Lima	Boalhosa	J. DEPOSITOS DE AGUA (BOALHOSA)	160709	171291	529577	41:44:6.30240000000185''	8:28:41.6172000000014''	2015-03-24 00:00:00.000	20:05:00	2015-03-24 00:00:00.000	21:30:00	2015-03-24 00:00:00.000	20:20:00	NaN	PT11010709	0.00	0.00	0.00	0.00	0	1	0	0	NaN	NaN	630.0	Desconhecida	Entre Douro e Minho	Alto Minho
4	2015	BL115321	2015180015874	Agrícola	Viseu	Castro Daire	Castro Daire	Farejinhas - Bº das Queirós	180304	217299	436999	40:54:6.67440000000056''	7:55:40.1268000000016''	2015-03-24 00:00:00.000	20:10:00	2015-03-24 00:00:00.000	21:00:00	2015-03-24 00:00:00.000	20:15:00	NaN	PT12050304	0.00	0.05	0.05	0.05	0	0	1	0	NaN	NaN	630.0	Desconhecida	Beira Litoral	Dão Lafões
5	2015	DM415289	2015030021952	Florestal	Braga	Barcelos	Perelhal	ERMIDA	30260	152733	506553	41:31:36.8795999999941''	8:41:58.0343999999977''	2015-03-24 00:00:00.000	18:03:00	2015-03-25 00:00:00.000	01:50:00	2015-03-24 00:00:00.000	18:15:00	NaN	PT11020260	1.50	0.00	1.50	1.50	1	0	0	1	NaN	NaN	711.0	Reacendimento	Entre Douro e Minho	Baixo Minho
6	2015	TM115382	2015170006397	Florestal	Vila Real	Boticas	Cerdedo	Vale Chã (CM1032 23, 5470, Portugal)	170206	218315	518661	1900-01-01 17:38:07	07:54:43	2015-03-24 00:00:00.000	21:40:00	2015-03-25 00:00:00.000	05:45:00	2015-03-24 00:00:00.000	22:00:00	NaN	PT11080206	0.50	38.00	38.50	38.50	0	0	0	1	NaN	NaN	125.0	Negligente	Trás-os-Montes	Barroso e Padrela
7	2015	BL21592	2015060013192	Falso Alarme	Coimbra	Pampilhosa da Serra	Pampilhosa da Serra	SOEIRINHO	61206	212600	347200	40:5:35.7468000000011''	7:59:7.30320000000106''	2015-03-25 00:00:00.000	10:30:00	2015-03-25 00:00:00.000	11:10:00	2015-03-25 00:00:00.000	10:40:00	NaN	PT12041206	0.00	0.00	0.00	0.00	0	1	0	0	Pampilhosa da Serra	NaN	60.0	Desconhecida	Beira Litoral	Pinhal Interior Norte
8	2015	DM215334	2015130044169	Florestal	Porto	Matosinhos	Santa Cruz do Bispo	MONTE DA MINA	130808	154833	470639	41:12:13.2479999999947''	8:40:17.8248000000018''	2015-03-25 00:00:00.000	15:30:00	2015-03-25 00:00:00.000	18:25:00	2015-03-25 00:00:00.000	15:40:00	NaN	PT11040808	0.00	0.05	0.05	0.05	0	0	1	0	NaN	NaN	NaN	NaN	Entre Douro e Minho	AMP e Entre Douro e Vouga
9	2015	TM115385	2015170006446	Florestal	Vila Real	Montalegre	Gralhas	GRALHAS	170612	235699	542500	41:51:4.15079999998738''	7:42:11.7215999999988''	2015-03-25 00:00:00.000	16:00:00	2015-03-25 00:00:00.000	17:00:00	2015-03-25 00:00:00.000	16:14:00	NaN	PT11080612	0.00	0.01	0.01	0.01	0	0	1	0	NaN	NaN	125.0	Negligente	Trás-os-Montes	Barroso e Padrela

Last rows

	Ano	Codigo SGIF	Codigo_ANPC	Tipo	Distrito	Concelho	Freguesia	Local	INE	x	y	lat	lon	DataAlerta	HoraAlerta	DataExtincao	HoraExtincao	Data1Intervencao	Hora1Intervencao	FonteAlerta	NUT	AA_Povoamento (ha)	AA_Mato (ha)	AA_EspacosFlorestais (pov+mato)(ha)	AA_Total (pov+mato+agric) (ha)	Reacendimentos	Falso Alarme	Fogacho	Incendio	Perimetro	APS	Causa	TipoCausa	Região PROF	UGF
23165	2015	DM4151625	2015030056679	Florestal	Braga	VIZELA	Barrosas_Santa Eulalia	L. DA TORRE	31401	186268	487102	41:21:10.7531999999958''	8:17:49.7904000000015''	2015-08-08 00:00:00.000	10:10:00	2015-08-08 00:00:00.000	11:40:00	2015-08-08 00:00:00.000	10:16:00	NaN	PT11031401	0.0000	0.1500	0.1500	0.1500	0	0	1	0	NaN	NaN	NaN	NaN	Entre Douro e Minho	Baixo Minho
23166	2015	BL3151196	2015010055534	Florestal	Aveiro	Aveiro	Cacia	Rua dos Ervideiros - Taboeira	10502	161309	413307	40:41:15.7452000000114''	8:35:27.380400000002''	2015-08-08 00:00:00.000	13:26:00	2015-08-08 00:00:00.000	15:05:00	2015-08-08 00:00:00.000	13:29:00	NaN	PT12010502	0.0436	0.0000	0.0436	0.0436	0	0	1	0	NaN	NaN	610.0	Desconhecida	Beira Litoral	Centro Litoral
23167	2015	DM2153121	2015130115491	Florestal	Porto	Amarante	Telões	TODEIA	130135	202704	482554	41:18:44.2872000000091''	8:6:2.90880000000243''	2015-08-08 00:00:00.000	13:47:00	2015-08-08 00:00:00.000	17:00:00	2015-08-08 00:00:00.000	14:03:00	NaN	PT11050135	0.0000	0.0700	0.0700	0.0700	1	0	1	0	NaN	NaN	711.0	Reacendimento	Entre Douro e Minho	Tâmega
23168	2015	DM4151631	2015030056725	Florestal	Braga	Celorico de Basto	Gémeos	L. VINHAÇA	30512	210692	492033	41:23:50.8127999999897''	8:0:18.7380000000005''	2015-08-08 00:00:00.000	13:51:00	2015-08-08 00:00:00.000	15:35:00	2015-08-08 00:00:00.000	14:10:00	NaN	PT11050512	0.0000	0.0400	0.0400	0.0400	0	0	1	0	NaN	NaN	448.0	Intencional	Entre Douro e Minho	Tâmega
23169	2015	RO115892	2015140044046	Florestal	Santarém	Ourém	Nossa Senhora Misericórdias	Lagoa do Furadouro	142111	162243	294087	39:36:51.2819999999886''	8:34:21.5868000000013''	2015-08-08 00:00:00.000	14:16:00	2015-08-08 00:00:00.000	15:18:00	2015-08-08 00:00:00.000	14:34:00	NaN	PT13042111	0.0000	0.3425	0.3425	0.3425	0	0	1	0	NaN	NaN	448.0	Intencional	Ribatejo e Oeste	Ribatejo
23170	2015	DM4151671	2015030056919	Florestal	Braga	Fafe	Fafe	RUA DE FORNELO	30709	196478	497826	41:26:58.6212000000126''	8:10:30.8603999999981''	2015-08-09 00:00:00.000	02:10:00	2015-08-09 00:00:00.000	03:15:00	2015-08-09 00:00:00.000	02:20:00	NaN	PT11030709	0.0000	0.5000	0.5000	0.5000	0	0	1	0	NaN	NaN	60.0	Desconhecida	Entre Douro e Minho	Baixo Minho
23171	2015	BL1151018	2015180041997	Florestal	Viseu	Cinfães	Cinfães	Ventuzela	180403	203110	458800	41:5:53.9843999999988''	8:5:46.4352000000019''	2015-08-09 00:00:00.000	04:40:00	2015-08-09 00:00:00.000	09:30:00	2015-08-09 00:00:00.000	04:53:00	NaN	PT11050403	0.0000	2.5000	2.5000	2.5000	0	0	0	1	NaN	NaN	125.0	Negligente	Entre Douro e Minho	Tâmega
23172	2015	BL3151227	2015010055691	Falso Alarme	Aveiro	Santa Maria da Feira	Feira	avenida 25 de abril	10906	164395	439698	40:55:31.7999999999984''	8:33:21.0132000000013''	2015-08-09 00:00:00.000	05:50:00	2015-08-09 00:00:00.000	06:40:00	2015-08-09 00:00:00.000	05:55:00	NaN	PT11060906	0.0000	0.0000	0.0000	0.0000	0	1	0	0	NaN	NaN	NaN	NaN	Entre Douro e Minho	AMP e Entre Douro e Vouga
23173	2015	DM2153226	2015130115988	Florestal	Porto	Paços de Ferreira	Paços de Ferreira	Lugar alto das Cavadas	130912	180666	478569	41:16:33.7691999999942''	8:21:50.2019999999975''	2015-08-09 00:00:00.000	08:20:00	2015-08-09 00:00:00.000	10:40:00	2015-08-09 00:00:00.000	08:25:00	NaN	PT11050912	0.0500	0.0000	0.0500	0.0500	1	0	1	0	NaN	NaN	711.0	Reacendimento	Entre Douro e Minho	Tâmega
23174	2015	BL3151229	2015010055723	Falso Alarme	Aveiro	Santa Maria da Feira	Rio Meão	Casais de Baixo	10921	161792	443105	40:57:21.8375999999995''	8:35:12.6744000000024''	2015-08-09 00:00:00.000	09:09:00	2015-08-09 00:00:00.000	11:03:00	2015-08-09 00:00:00.000	09:12:00	NaN	PT11060921	0.0000	0.0000	0.0000	0.0000	0	1	0	0	NaN	NaN	NaN	NaN	Entre Douro e Minho	AMP e Entre Douro e Vouga

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values